Methods and compositions for diagnosis and treatment of cancer
a technology of compositions and cancer, applied in the direction of dna/rna fragmentation, peptide/protein ingredients, fungi, etc., can solve the problems of less likely to be curable, less likely to be detected by chemical analysis, and not helpful in detecting cea, so as to inhibit the production or reduce the level of transcripts, inhibit the production, and reduce expression and/or activity
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Data Mining Strategy
[0286]As a first step, we created a general human expressed sequence tag (EST) file from all available libraries that contained the keyword “Homo sapiens” in the organism field of the dbEST report file (ftp: / / ncbi.nlm.nih.gov / repository / dbEST). To reduce complexity of the approach only libraries representing more than 100 ESTs and only ESTs encoding known full length genes were considered. Next, a colon / intestine tissue specific subfile was generated by extracting all those ESTs from the general file that contained the words “colon” and “intestine” in the library name, organism, tissue type, organ, or cell line field. To account for the fact, that several EST may be derived from the same gene, the colon / intestine tissue ESTs were grouped into clusters assembling ESTs that shared one or more stretches of high sequence identity. The sequence homology searching program blastn (www.ncbi.nlm.nih.gov / BLAST) was run sequentially with the homology str...
example 2
Screening for Colon Epithelial Cell Specific Targets
[0290]A genome-wide data mining strategy was applied to search for targets for monoclonal antibody therapy of colon cancer. The approach was based on digital cDNA library subtraction to discover differentiation genes with specificity for colonic epithelial cells with at least one hydrophobic region qualifying as transmembrane domain. Such candidates were subsequently tested for conserved expression in cancers derived from this cell lineage. One of the hits of the computational screen complying with the search criteria was the sequence according to SEQ ID NO: 1.
[0291]To experimentally validate the in silico predicted colon-specific expression of said sequence, we initially tested a small set of normal tissues and colon cancer samples by specific 35 cycle endpoint RT-PCR (FIG. 1A). Expression of the sequence was not detected in any normal tissue except colon and was maintained in 5 / 7 colon cancer samples. Next, a more comprehensive a...
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